IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v25y2018i3p134-147.html
   My bibliography  Save this article

Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system

Author

Listed:
  • Ehsan Pourjavad
  • Arash Shahin

Abstract

The aim of this paper is to propose a comprehensive framework for simultaneously measuring the performance of sustainable service and manufacturing supply chain management. Application of the proposed approach also results in reduced uncertainty of the performance measurement process caused by qualitative criteria evaluation. The proposed approach consists of two main steps. First, the fuzzy decision‐making trial and evaluation laboratory (DEMATEL) method has been used to determine important criteria by avoiding low influences; and then a Mamdani fuzzy inference system model has been adopted and applied for performance evaluation of sustainable supply chain management (SSCM). This model is employed in order to cope with the vagueness that exists in the SSCM performance investigation due to the vagueness intrinsic in the evaluation of criteria. In the proposed model, human reasoning has been modelled with fuzzy inference rules and has been set in the system, which is an advantage compared with those models in which fuzzy set theory and multicriteria decision‐making models are integrated. The proposed approach has been implemented in the pipe and fitting industry in order to highlight its application in real life. Sensitivity analysis has been carried out to determine the influence of service and manufacturing criteria on SSCM performance. The findings reveal that sustainable manufacturing criteria compared with sustainable service criteria have more effect on the performance of SSCM.

Suggested Citation

  • Ehsan Pourjavad & Arash Shahin, 2018. "Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 134-147, July.
  • Handle: RePEc:wly:isacfm:v:25:y:2018:i:3:p:134-147
    DOI: 10.1002/isaf.1431
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/isaf.1431
    Download Restriction: no

    File URL: https://libkey.io/10.1002/isaf.1431?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arash Shahin & Mohammad Arab Yar Mohammadi & Aryana Shahin, 2017. "Evaluation of factors influencing performance of world class supply chains using structural equation modelling - with a case study in the food industry," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 10(4), pages 514-523.
    2. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    3. Raut, Rakesh D. & Narkhede, Balkrishna & Gardas, Bhaskar B., 2017. "To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 33-47.
    4. Jeng-Wen Lin & Cheng-Wu Chen & Cheng-Yi Peng, 2012. "Potential hazard analysis and risk assessment of debris flow by fuzzy modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 273-282, October.
    5. Sergio Davalos & Fei Leng & Ehsan H. Feroz & Zhiyan Cao, 2014. "Designing An If–Then Rules‐Based Ensemble Of Heterogeneous Bankruptcy Classifiers: A Genetic Algorithm Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(3), pages 129-153, July.
    6. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    7. Ehsan Pourjavad & Hadi Shirouyehzad, 2014. "Evaluating manufacturing systems by fuzzy ANP: a case study," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 6(1), pages 65-83.
    8. Arash Shahin & Javad Khazaei Pool & Azam Khalili, 2016. "Investigating the impact of RFID technology utilisation on supply chain and performance with a case study in Iran's manufacturing industries," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 9(6), pages 751-770.
    9. Tseng, Ming-Lang & Lim, Ming K. & Wong, Wai-Peng & Chen, Yi-Chun & Zhan, Yuanzhu, 2018. "A framework for evaluating the performance of sustainable service supply chain management under uncertainty," International Journal of Production Economics, Elsevier, vol. 195(C), pages 359-372.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zanon, Lucas Gabriel & Marcelloni, Francesco & Gerolamo, Mateus Cecílio & Ribeiro Carpinetti, Luiz Cesar, 2021. "Exploring the relations between supply chain performance and organizational culture: A fuzzy grey group decision model," International Journal of Production Economics, Elsevier, vol. 233(C).
    2. Zanon, Lucas Gabriel & Munhoz Arantes, Rafael Ferro & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2020. "A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value," International Journal of Production Economics, Elsevier, vol. 223(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mei, Qihuang & Li, Jianbin & Ursavas, Evrim & Zhu, Stuart X. & Luo, Xiaomeng, 2021. "Freight transportation planning in platform service supply chain considering carbon emissions," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Lin, Yong & Chen, Anlan & Yin, Yanhai & Li, Qing & Zhu, Qiaoni & Luo, Jing, 2021. "A framework for sustainable management of the platform service supply chain: An empirical study of the logistics sector in China," International Journal of Production Economics, Elsevier, vol. 235(C).
    3. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    4. Moina Ajmeri & Ahmad Ali, 2017. "Analytical design of modified Smith predictor for unstable second-order processes with time delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(8), pages 1671-1681, June.
    5. Qiu, Ruozhen & Sun, Minghe & Lim, Yun Fong, 2017. "Optimizing (s, S) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 880-892.
    6. Manoranjan Kumar & Akhilesh Barve & Devendra K. Yadav, 2019. "Analysis of barriers in implementation of Goods and Service Tax (GST) in India using interpretive structural modelling (ISM) approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(5), pages 355-366, October.
    7. Mourad Kchaou & Ahmed El-Hajjaji, 2017. "Resilient sliding mode control for discrete-time descriptor fuzzy systems with multiple time delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(2), pages 288-301, January.
    8. Changyin Sun & Qing Wang & Yao Yu, 2017. "Robust output containment control of multi-agent systems with unknown heterogeneous nonlinear uncertainties in directed networks," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1173-1181, April.
    9. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    10. Hassan Ghiti Sarand & Bahram Karimi, 2016. "Synchronisation of high-order MIMO nonlinear systems using distributed neuro-adaptive control," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(9), pages 2214-2224, July.
    11. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    12. Bömmel, Nadja & Heineck, Guido, 2020. "Revisiting the Causal Effect of Education on Political Participation and Interest," IZA Discussion Papers 13954, Institute of Labor Economics (IZA).
    13. R. Sakthivel & V. Nithya & Yong-Ki Ma & Chao Wang, 2018. "Finite-Time Nonfragile Dissipative Filter Design for Wireless Networked Systems with Sensor Failures," Complexity, Hindawi, vol. 2018, pages 1-13, October.
    14. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    15. Zhang-peng Tian & Hong-yu Zhang & Jing Wang & Jian-qiang Wang & Xiao-hong Chen, 2016. "Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(15), pages 3598-3608, November.
    16. Wong, Wai Peng & Sinnandavar, Chandra Mohan & Soh, Keng-Lin, 2021. "The relationship between supply environment, supply chain integration and operational performance: The role of business process in curbing opportunistic behaviour," International Journal of Production Economics, Elsevier, vol. 232(C).
    17. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2020. "Analysis of supply chain sustainability with supply chain complexity, inter-relationship study using delphi and interpretive structural modeling for Indian mining and earthmoving machinery industry," Resources Policy, Elsevier, vol. 68(C).
    18. Carlos Bianchi & Pablo Galaso & Sergio Palomeque, 2020. "Invention and Collaboration Networks in Latin America: Evidence from Patent Data," Documentos de Trabajo (working papers) 20-04, Instituto de Economía - IECON.
    19. Burcu Yılmaz Kaya & Aylin Adem & Metin Dağdeviren, 2020. "A DSS-Based Novel Approach Proposition Employing Decision Techniques for System Design," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 413-445, March.
    20. M.V. Basin & M. Hernandez-Gonzalez, 2016. "Discrete-time filtering for nonlinear polynomial systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(9), pages 2058-2066, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:isacfm:v:25:y:2018:i:3:p:134-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.